搜索资源列表
GA_SVM
- GA/SVM 程序包含三个文件： 1。MainGA12.m 2。selectGA12.m 3。svmc12.m MainGA12.m是主文件，其余两个是被调用文件。 MainGA12.m里主要设置有关参数。 ＝＝＝＝＝＝＝＝＝＝＝＝＝＝＝＝＝＝＝＝＝ MainGA12.m文件有关设置的说明： 12行： host= \\gatest\\ ％在matlab的安装盘,例如c:\\下设置的程序运行结果目录。 -GA / SVM procedures contain
adaptive-genetic-algorithm
- 自适应GA SVM 参数选择算法研究Param eter selection algorithm for support vector machines based on adaptive genetic algorithm 支持向量机是一种非常有前景的学习机器, 它的回归算法已经成功地用于解决非线性函数的逼近问题. 但 是, SVM 参数的选择大多数是凭经验选取, 这种方法依赖于使用者的水平, 这样不仅不能获得最佳的函数逼近效果, 而且采用人工的方法选择 SVM 参数比较浪费
Prediction--GA-SVM
- 在遗传算法中，种群只有保持一定的多样性才能进化，一般来说，在进化初期，由于种群个体差别较大，因此种群的多样性程度较强-In the genetic algorithm, the population only maintain certain diversity can evolve, generally, in the early evolution, due to the large population individual differences, so the diversity of
gafit
- 联合运用粗糙集(RS)理论-遗传算法(GA)-支持向量机(SVM)方法研究真核生物翻译起始位点(TIS)的识别.-A classification model is built to recognize translation initiation sites (TISs) in eukaryotes by applying rough sets-genetic algorithm-support vector machine (RS-GA-SVM).
A-GA-based-feature-selection-and-parameters-optim
- Support Vector Machines, one of the new techniques for pattern classifi cation, have been widely used in many application areas. The kernel parameters setting for SVM in a training process impacts on the classifi cation accuracy. Feature
GGA__SVMMA
- GA/SVM 程序源码包含三个文件：1。MainGA12.m2。selectGA12.m3。svmc12.mMainGA12.m是主文件，其余两个是被调用文件。MainGA12.m里主要设置有关参数。。＝＝＝＝＝＝＝＝＝＝＝＝＝＝＝＝＝＝＝＝＝＝MainGA12.m文件有关设置的说明：12行：host= \gatest\ ％在matlab的安装盘，例如c:\下设置的程序源码运行结果目录。 源代码完整 -GA/SVM program source code consists of three
ga
- 基于GA的SVM训练程序，已经通过调试，只是删除了数据。-GA-based SVM training program has been through debugging, just delete the data.
svm-ga
- SVM神经网络中的参数优化---利用SVM提升分类器性能，很好-Parameter optimization of SVM neural network--- SVM to enhance the performance of the classifier, good
S-GA-SVM
- 一个关于遗传算法改进的支持向量机算法，能对全局优化问题进行加速搜索最优解-A genetic algorithm to improve the support vector machine algorithm for global optimization problems can be accelerated search the optimal solution
GA_SVM
- svm参数的优化算法——遗传算法,在使用SVM时用于优化核函数的两个参数-GA SVM
GA-PSO
- 遗传算法和粒子群算法以及网格搜索法优化神经网络SVM的高斯核参数和惩罚参数-Optimization of Genetic Algorithm Neural Network SVM Gaussian kernel parameters and penalty parameter
lung-cncer-GA-SVM
- lung cancer automatic detection based on genetic algorithm and support vector machine classifier
22500794GA-SVM
- 本程序事实现遗传算法（GA）优化支持向量机（SVM），具有很好的学习价值。-This procedure to achieve something genetic algorithm (GA) optimization support vector machine (SVM), having a good learning value.
ga (6)
- 基于码本（codebook）的背景建模的背景差分法+级联基于LBK或haar的adaboost和基于hog的svm分类器+快速hough圆变换进行人头识别+基于区域特征的目标跟踪算法。(编程) AdaBoost是一种增强性机器学习算法(Background modeling based on codebook (codebook) background difference method + cascade based on LBK or Haar AdaBoost and hog based
GASVM
- 遗传算法优化支持向量机程序，用于参数寻优，提高分类率(Genetic algorithm optimization support vector machine program)
PSO-SVM
- 将改进的粒子群算法和GA与SVM相结合，通过参数寻优构建新模型完成对空气质量指数的预测(The improved particle swarm optimization and genetic algorithm are combined with SVM. The prediction of air quality index (AQI) is completed by constructing a new model by parameter optimization.)
GA_SVM
- GA优化算法优化支持向量机的惩罚参数c和核函数的gamma。(GA optimization algorithm is used to optimize the penalty parameters c and kernel function gamma of SVM.)
GA-Bagging-SVM-code
- 基于matlab软件的Ga-bagging-svm程序，包含算例data，编写规范，非常好用(Ga-bagging-svm program based on MATLAB software, including example data, compiling specifications, very useful)
GA_SVM
- 利用GA遗传算法优化参数 并利用支持向量机分类或者回归计算(Use GA genetic algorithm to optimize parameters and use support vector machine for classification or regression calculation)
改进svm
- phog方法提取图像特征，svm支持向量机进行分类，分别有GA遗传算法和PSO粒子群优化算法进行寻优。(Phog method extracted image features, SVM support vector machine classification, respectively, GA genetic algorithm and PSO particle swarm optimization algorithm for optimization.)